Customer survey results are a good example of a multi-dimensional data set with strong attribute dependencies - each customer (table rows) is asked several questions (table columns) and typically answers correlate somehow. HeatMiner can visualize such data and reveal interesting patterns missed by traditional methods. (released soon)

More demos and information can be found in the Visual Data Mining Gallery or at on the old HeatMiner demo pages. Some of those demos are already out-of-date and some not yet productized, but hopefully they help in realizing the full potential of the technology.